Description:Background extraction is generally the first step for many computer vision and augmented reality applications. Most existing methods, which assume a clean background shot, are not suitable for video sequences such as highway traffic videos containing complex foreground movements which may not have a clean background shot. Therefore, this projects focuses on developing algorithms for robust background extraction.

Description:Global illumination is important for many applications such as animation, computer games, architecture, design and etc. However, the main issue in this field is the slow converging rate of algorithms. This research focus on improving the efficiency.